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Title: | Smart grid demand response strategies for datacenters. |
Authors: | Muraña, Jonathan Nesmachnow, Sergio Iturriaga, Santiago Montes de Oca, Sebastián Belcredi, Gonzalo Monzón, Pablo Shepelev, Vladimir Tchernykh, Andrei |
Type: | Preprint |
Keywords: | Smart grid, Computational intelligence, Demand response |
Issue Date: | 2021 |
Abstract: | This article presents demand response techniques for the participation of datacenters in smart electricity markets under the smart grid paradigm. The proposed approach includes a datacenter model based on empirical information to determine the power consumption of CPU-intensive and memory-intensive tasks. A negotiation approach between the datacenter and clients and a heuristic planning method for energy reduction optimization are proposed. The experimental evaluation is performed over realistic problem instances modeling different types of clients. Results indicate that the proposed approach is effective to provide appropriate demand response actions according to monetary incentives. |
Description: | Agencias de apoyo: El trabajo cuenta con el apoyo parcial de la Agencia Nacional de Investigación e Innovación (FSE_2017_1_144789). El trabajo de S. Nesmachnow y S. Iturriaga ha sido financiado en parte por ANII y PEDECIBA, Uruguay. Los autores también quieren agradecer al Centro Nacional de Supercomputación (Cluster.Uy). |
Publisher: | Institute for System Programming of the RAS |
IN: | Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS), Volume 33, Number 2, p. 125-136, 2021 |
Citation: | Muraña, J., Nesmachnow, S., Iturriaga, S. y otros. Smart grid demand response strategies for datacenters. [Preprint]. EN : Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2021, vol. 33, no 2, p.125-136. DOI: 10.15514/ISPRAS-2021-33(2)-7. e-ISSN: 2220-6426. |
License: | Licencia Creative Commons Atribución (CC - By 4.0) |
Appears in Collections: | Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica |
Files in This Item:
File | Description | Size | Format | ||
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MNIMBMST21.pdf | Preprint | 335,72 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License